# 代码办公SOEASY (@hdjek) on douyin

- id: koinon:creator:douyin_hdjek
- url: https://koinonlink.com/kol/douyin/hdjek
- schema_version: 1.4

## Identity
- platform: douyin
- handle: hdjek
- platform_url: https://www.douyin.com/user/MS4wLjABAAAANWGzgOUXZvbYwxBPJgow5tLKujk3UMprkTSbyAXxUx7u_g67xU_A2mg-mhZGZvaR
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 46299
- following: 33
- posts_total: 122
- posts_observed: 3
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0067
- best_post_interactions: 310
- measurement_source: cn_posts_max
- measurement_formula: likes + comments + shares (douyin) or likes + comments + collects (xiaohongshu), max over observed posts
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: devtools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Python批量文件处理, PDF拆分合并与信息提取, Excel数据自动化操作, 图片批量重命名与归类, 办公效率提升脚本
- bio: 批量文件处理达人
编程提升工作效率
🌏 bclslxm

## Audience (inferred)
- status: present
- description: Office workers, administrative/finance/operations staff who handle large volumes of PDFs, Excel files, images, and contracts
- roles: automation
- seniority: practitioner
- pain_points: Manually renaming, splitting, and extracting numerous PDFs and images is time-consuming and labor-intensive, Copying data from invoices, contracts, and shipping documents into Excel one by one is error-prone, Lacking programming skills but wanting simple scripts to automate repetitive office tasks, Low efficiency in folder organization, file categorization, and adding watermarks to documents
- posts_analysed: 41
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 60
- authenticity_basis: engagement_observed
- credibility_score: 71
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [douyin_hdjek#3d42796e] 批量提取快递面单中的虚拟号码、收件人信息到Excel表中 (https://www.douyin.com/user/MS4wLjABAAAANWGzgOUXZvbYwxBPJgow5tLKujk3UMprkTSbyAXxUx7u_g67xU_A2mg-mhZGZvaR)
- [douyin_hdjek#9dcac9bb] #Python #办公技巧 #每天学习一点点 #批量 #excel表格 / 激昂节奏 IntenseRhythm / PDF发票批量重命名。批量提取发票日期、项目名称星号后内容、购买方名称、发票号后9位重命名 #批量处理 #办公技巧 #干货分享 #python / Chase / 批量将含有图片的多个文件夹快速转换合并为同名PDF文件 #图片文件夹转PDF #python #干货分享 #办公技巧 / 剧情古灵精怪趣味 - My Happy Dance / 批量提取多份合同中的合同号、合同金额、合同页数等内容到一张Excel表中。
- [douyin_hdjek#1a3c4d56] #excel提取数据 #代码 #办公技巧 #每天学习一点点 #python / 批量以照片中的车牌号为每张照片重命名。
- [douyin_hdjek#fc9443fe] #批量 #python #高效办公 #每天学习一点点 #代码

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=84, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=85, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=85, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=107, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=85, method=Starts at 60; interactions-per-follower on collected posts then adds or subtracts (large following with near-zero engagement is penalised heavily). — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=107, method=llm_partner_fit_classifier + authenticity >= 55 AND fit_score >= 0.45 => A; authenticity >= 40 AND fit_score >= 0.3 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=107, method=platform_profile

## Freshness
- profile_checked_days_ago: 107
- content_analysed_days_ago: 85
- audience_updated_days_ago: 84

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=douyin_hdjek
- Request removal: https://koinonlink.com/claim?k=douyin_hdjek
- Terms: https://koinonlink.com/for-ai